The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems


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Аннотация

We consider, in chronological order, the main results that have defined the concept of conditionally minimax nonlinear filtering. This would let us to follow all the evolution stages of this universal method, from a particular application, through basic mathematical concepts, to an advanced theory able to solve a wide class of robust estimation problems in linear and nonlinear stochastic systems.

Авторлар туралы

A. Borisov

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Хат алмасуға жауапты Автор.
Email: aborisov@frccsc.ru
Ресей, Moscow

A. Bosov

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: aborisov@frccsc.ru
Ресей, Moscow

A. Kibzun

Moscow Aviation Institute

Email: aborisov@frccsc.ru
Ресей, Moscow

G. Miller

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: aborisov@frccsc.ru
Ресей, Moscow

K. Semenikhin

Moscow Aviation Institute

Email: aborisov@frccsc.ru
Ресей, Moscow

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